d-wasserman / flask-network-prioritization-template

This is a template project for weighted prioritization analysis and visualization.

flask-network-prioritization-template

A sample application using flask and leafet to enable dynamic changes to weights for an arbitrary multicriteria analysis. Inspired by Ian McHargs work on overlay analysis as a method of managing complexity and reflecting human values in planning for human settlement.

Summary

This sample project uses sample data from a priorization analysis for West Valley, Utah's Active Transportation Plan to provide an example of how to use flask for dynamically reweighting a multicriteria analysis.

Part of the motivation for this project is to start 2019 by celebrating the 50th aniversary of Sir Ian McHarg's book "Design With Nature". This type of analytical implementation provides a template for open source McHargian style analysis to help planners design with data.

Demonstration Animation

Build Information

The dependencies and frameworks used in this template are listed below.

Frontend

This template uses the following CSS/JS libraries/frameworks for the frontend.

• Bootstrap 4.0.0 (Via CDN)

• leaflet 1.7.1

• chroma-js 2.0.2

• jquery 3.6.0

• leaflet-ajax 2.1.0

• lie 3.0.1

• grunt >1.5.3

Backend

The backend environment uses Flask for app deployment. The python environment used is set up via conda (or pip) using Python version 3.6. The dependencies are listed below.

• certifi=2018.11.29=py36_1000
• click=7.0=py_0
• flask=1.0.2=py_2
• flask-sqlalchemy=2.3.2=py_0
• itsdangerous=1.1.0=py_0
• jinja2=2.10=py_1
• markupsafe=1.1.0=py36hfa6e2cd_1000
• pandas=0.23.4=py36h830ac7b_1000
• pip=18.1=py36_1000
• python=3.6.6=he025d50_0
• python-dateutil=2.7.5=py_0
• pytz=2018.7=py_0
• setuptools=40.6.3=py36_0
• six=1.12.0=py36_1000
• sqlalchemy=1.2.15=py36hfa6e2cd_1000
• vc=14=0
• vs2015_runtime=14.0.25420=0
• werkzeug=0.14.1=py_0
• wheel=0.32.3=py36_0
• wincertstore=0.2=py36_1002
• blas=1.0=mkl
• mkl=2017.0.3=0
• numpy=1.13.1=py36_0